Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 3796 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.1186. Min Act: -0.0001

Data Index: 1476097 (Python Code)

Max Activating Token Index: 579

Text #1

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Max Act: 0.1274. Min Act: -0.0001

Data Index: 1411373 (Python Code)

Max Activating Token Index: 608

Text #2

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Data Index: 1362971 (Python Code)

Max Activating Token Index: 749

Text #3

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Max Act: 0.1139. Min Act: -0.0001

Data Index: 1600742 (Python Code)

Max Activating Token Index: 41

Text #4

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Max Act: 0.1178. Min Act: -0.0001

Data Index: 1527886 (Python Code)

Max Activating Token Index: 485

Text #5

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Data Index: 1562654 (Python Code)

Max Activating Token Index: 682

Text #6

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Data Index: 1491486 (Python Code)

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Text #7

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Data Index: 1653100 (Python Code)

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Text #8

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Data Index: 1524781 (Python Code)

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Text #9

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Data Index: 1588244 (Python Code)

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Text #10

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Data Index: 1426878 (Python Code)

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Text #11

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Data Index: 1412439 (Python Code)

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Text #12

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Data Index: 1634474 (Python Code)

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Text #13

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Data Index: 1416933 (Python Code)

Max Activating Token Index: 287

Text #14

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Data Index: 1439803 (Python Code)

Max Activating Token Index: 409

Text #15

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Data Index: 1539284 (Python Code)

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Text #16

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Data Index: 1361089 (Python Code)

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Text #17

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Data Index: 1648462 (Python Code)

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Text #18

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Data Index: 1561732 (Python Code)

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Text #19

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Max Act: 0.0974. Min Act: -0.0001

Data Index: 1386036 (Python Code)

Max Activating Token Index: 582